Bayesian Analysis of the Cox Model

Authored by: Joseph G. Ibrahim , Ming-Hui Chen , Danjie Zhang , Debajyoti Sinha

Handbook of Survival Analysis

Print publication date:  July  2013
Online publication date:  April  2016

Print ISBN: 9781466555662
eBook ISBN: 9781466555679
Adobe ISBN:

10.1201/b16248-4

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Abstract

Great strides in the analysis of survival data using Bayesian methods have been made in the past ten years due to advances in Bayesian computation and the feasibility of such methods. In this chapter, we review Bayesian advances in survival analysis and discuss the various semiparametric modeling techniques that are now commonly used. We review parametric and semiparametric approaches to Bayesian survival analysis, with a focus on proportional hazards models. References to other types of models are also given.

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